code: def _binary_op_slow(cls, func, arg0, arg1):
      # assert arg0.shape == arg1.shape
      v0, v1 = arg0, arg1
      if isinstance(arg0, cls):
          v0 = arg0.to_dense()
      if isinstance(arg1, cls):
          v1 = arg1.to_dense()
      out = func(v0, v1)
      return cls.from_dense(out)
  
imports: import torch
  from xformers.ops import masked_matmul
  from xformers.sparse import _csr_ops
  from xformers.sparse.utils import _csr_to_coo, _dense3d_to_sparse, _diffsort, _get_transpose_info, _transpose_with_info
label_desc: Use image node_id 21 for calling the SparseCSRTensor obj's underlying member method code with example usage: obj._binary_op_slow(cls, func, arg0, arg1) and returns: cls